Giovanni Sparacino
Orcid: 0000-0002-3248-1393Affiliations:
- University of Padua, Italy
According to our database1,
Giovanni Sparacino
authored at least 92 papers
between 1997 and 2023.
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on dei.unipd.it
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Bibliography
2023
ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies.
IEEE Trans. Biomed. Eng., November, 2023
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One.
IEEE Trans. Biomed. Eng., November, 2023
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials.
Comput. Methods Programs Biomed., October, 2023
Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes.
IEEE Trans. Control. Syst. Technol., March, 2023
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
IEEE Trans. Biomed. Eng., 2022
Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions.
Sensors, 2022
Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes.
Comput. Methods Programs Biomed., 2022
Super-twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario.
Comput. Methods Programs Biomed., 2022
Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for <i>in-silico</i> clinical trials: More realistic scenarios obtained using a decision tree approach.
Comput. Methods Programs Biomed., 2022
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose Sensors.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims.
IEEE J. Biomed. Health Informatics, 2021
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy.
IEEE Trans. Biomed. Eng., 2021
Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only.
Sensors, 2021
An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data.
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.
Sensors, 2020
Detection of Hypoglycemia Using Measures of EEG Complexity in Type 1 Diabetes Patients.
Entropy, 2020
Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Time-Frequency Analysis for the Online Detection of the N2pc Event-Related Potential (ERP) Component in Individual EEG Datasets.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
2019
Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime.
Sensors, 2019
Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept.
Sensors, 2019
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device.
Sensors, 2019
Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy).
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments.
IEEE Trans. Biomed. Eng., 2018
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework.
IEEE Trans. Biomed. Eng., 2018
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data.
Comput. Biol. Medicine, 2018
Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation.
Source Code Biol. Medicine, 2017
Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm.
Biomed. Signal Process. Control., 2017
2016
Measuring Cerebral Activation From fNIRS Signals: An Approach Based on Compressive Sensing and Taylor-Fourier Model.
IEEE Trans. Instrum. Meas., 2016
Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors.
IEEE Trans. Biomed. Eng., 2016
2015
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices.
Medical Biol. Eng. Comput., 2015
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Automated analysis of local field potentials evoked by mechanical whisker stimulation in rat barrel cortex.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution.
IEEE Trans. Biomed. Eng., 2014
Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information.
Comput. Methods Programs Biomed., 2014
An EEGLAB plugin to analyze individual EEG alpha rhythms using the "channel reactivity-based method".
Comput. Methods Programs Biomed., 2014
Preprocessing by a Bayesian Single-Trial Event-Related Potential Estimation Technique Allows Feasibility of an Assistive Single-Channel P300-Based Brain-Computer Interface.
Comput. Math. Methods Medicine, 2014
Sparse Principal Component Analysis for the parsimonious description of glucose variability in diabetes.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects.
IEEE Trans. Biomed. Eng., 2013
Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness.
Sensors, 2013
A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements.
NeuroImage, 2013
Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management.
J. Appl. Math., 2013
Comput. Methods Programs Biomed., 2013
Voice disorders assessed by (cross-) Sample Entropy of electroglottogram and microphone signals.
Biomed. Signal Process. Control., 2013
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013
2012
Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration.
IEEE Trans. Biomed. Eng., 2012
Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach.
IEEE Trans. Biomed. Eng., 2012
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management.
Sensors, 2012
NeuroImage, 2012
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system.
Medical Biol. Eng. Comput., 2012
2011
Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring.
IEEE Trans. Biomed. Eng., 2011
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
IEEE Trans. Biomed. Eng., 2010
Sensors, 2010
2009
Electroglottography and microphone signals assessed by approximate entropy in normal and dysphonic subjects.
Proceedings of the Sixth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2009
2007
Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series.
IEEE Trans. Biomed. Eng., 2007
2006
Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2004
"Population" approach improves parameter estimation of kinetic models from dynamic PET data.
IEEE Trans. Medical Imaging, 2004
2002
WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.
Comput. Methods Programs Biomed., 2002
Comput. Methods Programs Biomed., 2002
2001
Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method.
IEEE Trans. Biomed. Eng., 2001
2000
Maximum-likelihood versus maximum a posteriori parameter estimation of physiological system models: the c-peptide impulse response case study.
IEEE Trans. Biomed. Eng., 2000
1997
Nonparametric input estimation in physiological systems: Problems, methods, and case studies.
Autom., 1997